• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.81-81
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• 2022

서북태평양은 전세계적으로 태풍이 가장 많이 발생하는 해양 지역 중 하나이다. 태풍이 몰고 온 강풍과 폭우, 폭풍해일 등은 우리 사회경제와 환태평양 국가의 신변안전에 심각한 위협이 되고 있다.특히 내륙으로 진입하는 수백킬로의 영향을 미치는 만큼 넓은 지역에 걸쳐 강우량이 발생하고, 집중강수 기간이 짧아 산사태 등 자연재해로 많은 인명피해가 발생한다. 이러한 피해를 줄이기 위해서는 태풍의 활동특성을 잘 파악하고 태풍에 의한 강수량 예측 연구가 재해예방과 재난저감을 위해 필요하다. 그러나 현재기술에서 태풍이 몰고 온 강수의 정확한 양적 예측은 여전히 어려운 문제이며, 해결해야 할 큰 도전과제이다. 본 연구에서는 태풍별 강수량 상관관계를 분석하고, 서북태평양의 역사적 태풍의 궤도와 강도를 고려해 태풍으로 인한 강수량을 예측하는 통계적 방법을 적용한 결과를 제시하고자 한다.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.448-453
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• 2010

본 연구는 일반 조직의 직무만족도에 관한 기존 연구를 통해 직무만족도에 영향을 미치는 stress와 개인 대처 능력인 strength의 개념을 정의하고 이를 측정하기 위한 모델을 구축하였다. stress 와 strength에 대한 문헌연구 및 기존모델을 통해 직무만족도의 개념적 틀을 정의하고 측정모델을 구체화하였다. 모형의 통계적 타당성을 검증하기 위해 건강보험심사 평가원 임직원 289명을 대상으로 사례 연구를 하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.151-153
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• 2000

현재의 자동 문서 분류 시스템에서는 문서분류는 지식베이스를 구축하고 전문가가 클레스의 분류 주제어를 수동 입력함으로써 이루어진다. 이것은 대단히 어렵고 번거로운 일이며 많은 시간과 노력이 소요되고 지속적으로 이루어지기 힘들다. 본 논문에서는 지식베이스와 문서의 구조적 정보, 통계적 정보, 키워드 간의 응집도를 이용하여 자동 문서 분류를 위한 분류 주제어의 자동 증식 방법을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.607-609
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• 2003

동영상 자동 분석은 비디오 데이터의 내용 기반 색인과 검색을 위한 첫 단계이다. 본 논문에서는 정형적인 구조를 가진 뉴스와는 달리 비정형적인 특성을 가진 축구 동영상에서 사용자의 관심이 되는 하이라이트 장면의 영상 특징을 이용하여 그 구조를 분석하여 하이라이트 장면을 검출하는 방법을 제안한다. 이전 연구를 토대로 그라운드영역과 골대 유무에 따라 하이라이트 후보 장면을 찾는 과정에서 경기마다 달라지는 임계값에 영향을 받지 않는 알고리즘을 제안하였다. 실험결과 제안된 방법이 여러 종류의 축구 경기 하이라이트 분석에 있어서 그 성능이 우수함을 확인할 수 있었다.

• The Korean Journal of Applied Statistics
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• v.22 no.5
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• pp.1115-1129
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• 2009

Previous research has recently shown that non-cognitive factors such as attitudes toward statistics contribute positively to statistics learning, Hence, helping students develop positive attitudes toward statistics has become one of the essential goals of statistics teaching. A wide variety of instruments assessing attitudes toward statistics were developed and validated in foreign countries, but not many in Korea. The SATS-36(Survey of Attitudes Toward Statistics-36; Schau et al., 1995) has been regarded as one of the most valid measures of attitudes toward statistics. Therefore, this study was designed to validate a Korean version of Survey of Attitudes Toward Statistics(K-SATS). Instead of six factors of the original scale, a five-factor structure including interests, value, cognitive competence, difficulty, and effort was empirically supported by the Korean student sample. The results evidenced high reliability and construct validity of K-SATS. In addition, students' attitudes towards statistics differed across gender, level of statistics courses, degree programs, and major. These findings were discussed in terms of their implications for future research and statistics teaching.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.3
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• pp.23-29
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• 2015

Due to the characteristics of landslide disasters including debris flow, the rapid speed to downward and difficulty to respond or evacuate from them, it is imperative to identify their potential hazards and prepare the reduction plans. However, the current landslide hazards generated by a variety of methods has been raised its accuracy because of the complexity of input data and their analyses, and the simplification of the landslide model. The main objective of this study is, therefore, to evaluate the preliminary landslide hazard based on the identification of geomorphological features. Especially, two methodologies based on the statistics of the directional data, Vector dispersion and Planarity analyses, are used to find some relationships between geomorphological characteristics and the landslide hazard. Results show that both methods well discriminate geomorphological features between stable and unstable domains in the landslide areas. Geomorphological features are closely related to the landslide hazard and it is imperative to maximize their characteristics by adapting multiple models rather than individual model only. In conclusions, the mechanism of landslide is not determined solely by a simple cause but the complex natural phenomenon caused by the interactions of the numerous factors and it is of primary importance to require additional researches for the outbreaking mechanism that are based on various methodologies.

• The Journal of Engineering Geology
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• v.14 no.4 s.41
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• pp.443-450
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• 2004

This study developed a prediction model of debris flow to predict a landslide probability on natural terrain composed of the Tertiary sedimentary and volcanic rocks using a logistic regression analysis. The landslides data were collected around Pohang, Gyeongbuk province where more than 100 landslides were occurred in 1998. Considered with basic characteristics of the logistic regression analysis, field survey and laboratory soil tests were performed for both slided points and not-slided points. The final iufluential factors on landslides were selected as six factors by the logistic regression analysis. The six factors are composed of two topographic factors and four geologic factors. The developed landslide prediction model has more than $90\%$ of prediction accuracy. Therefore, it is possible to make probabilistic and quantitative prediction of landslide occurrence using the developed model in this study area as well as the previously developed model for metamorphic and granitic rocks.

• Convergence Security Journal
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• v.16 no.6_2
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• pp.73-82
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• 2016

This study is to investigate the Effect of Career Choice Motives of the Private Security Guards on Job choice evaluation and Job Attitude. For this study visiting the 8 companies around the capital area and surveyed from May 1st to October 10th 2015 using the stratified random sampling method. A total of 240 questionnaires were distributed and among them, 220 copies were used except for analysis. I used SPSSWIN 21.0 and AMOS 21.0 to reliability analysis, factor analysis, analysis of structural equation model, path analysis. The level of statistical significance was set to .05. The following are conclusions. Job choice motivation has a positive effect on Job choice evaluation and Job attitude but Job choice evaluation doesn't play intermediary role on relationship between Job choice motivation and Job attitude.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.328-337
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• 2012

This study was conducted to investigate academic self-efficacy, learning motivation, and self-directed learning which influence problem-solving ability in nursing students. A total of 217 third year students were recruited from two nursing colleges in Gwangju. Structured questionnaire was self-administered from March 2 to 31, 2012. In academic self-efficacy, there were significant differences in gender, high school type, character. Problem-solving ability showed statistically significant differences in curriculum usability after graduation. In multiple regression analysis, self-efficacy, learning motivation and self-directed learning were significant factors of problem-solving ability explaining 37.3% of the variables. In conclusion, self-efficacy, learning motivation, and self-directed learning had a positive effect on problem-solving ability in nursing students. To enhance problem-solving ability for nursing students, it is necessary to develop teaching program and curriculum for increasing academic self-efficacy, learning motivation, and self-directed learning.

• Korean Journal of Breeding Science
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• v.49 no.3
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• pp.129-140
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• 2017

This study was carried out to develop of environmental risk assessments and the biosafety guide for Vitamin E enhanced transgenic soybean at LMO (Living Modified Organism) isolation field. In LMO quarantine area of National Institute of Agricultural Sciences, insect species diversities and population densities on vitamin E enhanced transgenic soybean and non-GM soybeans (Willams 82 and Seoritae) were investigated. A total of 17,717 individuals of 77 species from 8 orders were collected in LMO isolation field. In three type soybeans field, total of 5,250 individuals in Vitamin E enhanced transgenic soybean, 5,510 individuals in Willams 82, and 6,957 individuals in Seoritae were collected, respectively. There was no difference between the population densities of insect pests, natural enemies and other insects on Vitamin E enhanced transgenic soybean and Willams 82, while natural enemies density on Seoritae was higher than on Vitamin E enhanced transgenic soybean, but insect pests density on Vitamin E enhanced transgenic soybean was higher. These results provided the insects diversity for risk assessment survey of Vitamin E enhanced transgenic soybean and suggested that the guideline could be useful to detect LMO crops.